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Dylan Beadle
dylanbeadle
Experienced iOS developer with a strong interest in Artificial Intelligence (AI), Machine Learning, and Deep Learning
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Right click the link to save this file in your home directory with the name git-completion.bash.
Right click the link to save this file in your home directory with the name git-prompt.sh.
Follow the link to this gist and save the contents in your home directory under the name .bash_profile (note: if you alrady have a .bash_profile, add this to the bottom of it)
BitArray based on CFBitVector Swift implementation
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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A composable pattern for pure state machines with effects (draft v3)
A composable pattern for pure state machines with effects
State machines are everywhere in interactive systems, but they're rarely defined clearly and explicitly. Given some big blob of code including implicit state machines, which transitions are possible and under what conditions? What effects take place on what transitions?
There are existing design patterns for state machines, but all the patterns I've seen complect side effects with the structure of the state machine itself. Instances of these patterns are difficult to test without mocking, and they end up with more dependencies. Worse, the classic patterns compose poorly: hierarchical state machines are typically not straightforward extensions. The functional programming world has solutions, but they don't transpose neatly enough to be broadly usable in mainstream languages.
Here I present a composable pattern for pure state machiness with effects,
A Very Simple Genetic Algorithm Written in Swift 3
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